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TensorWave operates an AMD-exclusive cloud for AI workloads, built on Kubernetes + Prometheus + Grafana with infrastructure-as-code tooling (Terraform, Pulumi, Crossplane). The tech stack and active projects reveal a company focused on solving the operational complexity of high-density GPU environments: liquid cooling, power distribution, Kubernetes observability, and cost optimization. Leadership hiring (Capital Markets Director) plus active roles in ops and security suggests TensorWave is scaling infrastructure and governance faster than pure product.
Tech Stack 114 technologies
Core StackKubernetes Go Python Helm Terraform Pulumi Crossplane Prometheus Grafana AWS AWS Lambda Loki Ansible AutoCAD Jira Revit JavaScript Rust Knative KEDA Kustomize OPA GCP Azure Cilium HAProxy Microsoft Project C Zig NixOS+76 more
What TensorWave Is Building
◆Challenges
- Scaling ai infrastructure
- Reducing alert noise
- Global self-healing autoscaling platform
- Lack of threat modeling program
- Optimizing liquid cooling for high-density gpu environments
- Vendor coordination for large-scale data center builds
- Ensuring platform reliability
- Balancing speed to market and cost
- Greenfield and retrofit development challenges
- Scaling recruiting ahead of demand
▲Active Projects
- Data center infrastructure modeling
- End-to-end design process
- Next-generation kubernetes platform
- Dashboard development for pipeline tracking
- Kubernetes observability and cost optimization
- Company-wide events and off-sites
- Liquid cooling solutions for high-density gpu environments
- Structured cabling systems for scalable data center
- Power distribution systems for high-density gpu deployments
- Cloud-based dashboards and real-time monitoring platforms
Hiring Activity
Steady45 roles · 15 in 30d
Department
Seniority
Notable leadership hires: Capital Markets Director
Company intelligence
